Triple

T29427137
Position Surface form Disambiguated ID Type / Status
Subject Ostravice River E746325 entity
Predicate hasLeftTributary P415 FINISHED
Object Říčka River
The Říčka River is a smaller watercourse in the Czech Republic that serves as a left-bank tributary of the Ostravice River.
 E2294233 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Říčka River | Statement: [Ostravice River, hasLeftTributary, Říčka River]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Říčka River
Triple: [Ostravice River, hasLeftTributary, Říčka River]
Generated description
The Říčka River is a smaller watercourse in the Czech Republic that serves as a left-bank tributary of the Ostravice River.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f0a7a06e0081908add494075912eb4 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66ac6dc04819084203f8a4b51e676 completed May 2, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7bbc004a4481908d522aec63a09811 completed Aug. 12, 2026, 12:19 a.m.
NEDg Description generation batch_6a7bbc71fb1c8190b75136bbf88b1077 completed Aug. 12, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_6a7bbcc39afc8190ba8ed711ce007ac3 completed Aug. 12, 2026, 12:22 a.m.
Created at: April 28, 2026, 3:10 p.m.